Optimization of the balanced steady state free precession (bSSFP) pulse sequence for magnetic resonance imaging of

Christiane L Mallett1, Paula J Foster

  • 1Department of Medical Biophysics, The University of Western Ontario, London, Ontario, Canada. cmall@imaging.robarts.ca

Plos One
|April 16, 2011
PubMed
Abstract

Insights

Optimized balanced steady-state free precession (bSSFP) MRI sequences provide fast, high-resolution prostate imaging in mice. This technique enhances visualization of tumors and surrounding lymph nodes for cancer research.

Area of Science:

  • Biomedical Imaging
  • Preclinical Cancer Research
  • Magnetic Resonance Imaging

Background:

  • Magnetic Resonance Imaging (MRI) enables non-invasive monitoring of tumor growth and treatment response in mouse models.
  • Orthotopically-implanted mouse models are crucial for longitudinal prostate cancer studies.
  • Optimization of MRI pulse sequences is essential for high-quality imaging.

Purpose of the Study:

  • To optimize the balanced steady-state free precession (bSSFP) pulse sequence for enhanced mouse prostate imaging.
  • To compare the optimized bSSFP sequence with conventional T1- and T2-weighted spin echo sequences.
  • To improve signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) for better visualization.

Main Methods:

  • Optimized parameters including phase cycling, excitations, flip angle, and receiver bandwidth for bSSFP sequence.
  • Evaluated SNR and CNR performance across different parameter settings.
  • Compared the optimized bSSFP sequence against T1- and T2-weighted spin echo sequences.

Main Results:

  • Optimized bSSFP sequence achieved 200 µm isotropic resolution in 14-26 minutes.
  • Demonstrated higher SNR efficiency compared to T1WSE and T2WSE sequences.
  • Showcased high CNR, comparable to T1WSE, and enabled visualization of the entire mouse body and key lymph nodes.

Conclusions:

  • An optimized bSSFP sequence provides fast, high-resolution, and high-CNR imaging of the healthy mouse prostate.
  • This optimized sequence is suitable for detailed longitudinal studies in prostate cancer mouse models.
  • The technique facilitates comprehensive assessment of tumor burden and treatment efficacy.